US6993380B1 - Quantitative sleep analysis method and system - Google Patents
Quantitative sleep analysis method and system Download PDFInfo
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- US6993380B1 US6993380B1 US10/454,156 US45415603A US6993380B1 US 6993380 B1 US6993380 B1 US 6993380B1 US 45415603 A US45415603 A US 45415603A US 6993380 B1 US6993380 B1 US 6993380B1
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/372—Analysis of electroencephalograms
- A61B5/374—Detecting the frequency distribution of signals, e.g. detecting delta, theta, alpha, beta or gamma waves
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/24—Detecting, measuring or recording bioelectric or biomagnetic signals of the body or parts thereof
- A61B5/316—Modalities, i.e. specific diagnostic methods
- A61B5/369—Electroencephalography [EEG]
- A61B5/377—Electroencephalography [EEG] using evoked responses
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- A—HUMAN NECESSITIES
- A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
- A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
- A61B5/00—Measuring for diagnostic purposes; Identification of persons
- A61B5/48—Other medical applications
- A61B5/4806—Sleep evaluation
- A61B5/4818—Sleep apnoea
Definitions
- the present invention relates to a method of analyzing a subject for excessive daytime sleepiness, and more particularly to a quick (short duration), quantitative method of sleep disorder analysis.
- the present invention additionally relates to a method, which can be used to quantitatively measure the treatment endpoints for the subject, i.e., appropriate levels of stimulants.
- EDS Excessive daytime sleepiness
- the underlying etiology of EDS generally falls into three categories: chronic sleep deprivation, circadian disorders (shift work), and sleep disorders.
- EDS is currently diagnosed via two general methods. The first is via subjective methods such as the Epworth and Standford Sleepiness Scale, which generally involves questionnaires where the patients answer a series of qualitative questions regarding their sleepiness during the day. With these methods, however, it is found that the patients usually underestimate their level of sleepiness or they deliberately falsify their responses because of their concern regarding punitive action, or as an effort to obtain restricted stimulant medication.
- the second is via physiological based evaluations such as all night polysomnography to evaluate the patients sleep architecture (e.g., obtaining respiratory disturbance index to diagnose sleep apnea) followed by an all day test such as the Multiple Sleep Latency Test (MSLT) or its modified version, Maintenance of Wakefulness Test (MWT).
- MSLT consists of four (4) to five (5) naps and is considered the most reliable objective measure of sleepiness to date.
- the MSLT involves monitoring the patient during twenty (20) to fourty (40) minute nap periods in two-hour intervals one and one half hour (1.5 hrs) to three hours (3 hrs) after awakenings to examine the sleep latency and the sleep stage that the patient achieves during these naps, i.e., the time it takes for the patient to fall asleep.
- a sleep disorder such as narcolepsy for example is diagnosed when the patient has a restful night sleep the night before but undergoes rapid eye movement sleep (REM sleep) within five (5) minutes of the MSLT naps.
- the MWT is a variation of the MSLT. The MWT provides an objective measure of the ability of an individual to stay awake.
- MSLT and MWT are more objective and therefore don't have the same limitations as mentioned for the subjective tests, the MSLT and MWT have their own limitations. Both the MSLT and MWT require an all-day stay at a specialized sleep clinic and involve monitoring a number of nap opportunities at two hour intervals throughout the day. Further, the MSLT mean sleep latency is only meaningful if it is extremely short in duration (e.g., to diagnose narcolepsy), and only if the overnight polysomnogram does not show any sleep disordered breathing.
- the MWT was developed in 1982, in part, to address some of the short-comings of the MSLT method.
- the MWT eliminated the “floor effect” in the MSLT test shown in narcoleptic patients due to the instruction in the MWT test to the patient to stay awake.
- the MWT created another problem at the other end of the sleep latency period called the “ceiling effect”.
- the “ceiling effect” is the tendency of less “sleepy” individuals to perform the MWT without falling asleep.
- the length of the MWT trial was lengthened from twenty (20) to fourty (40) minutes in 1984 because it was observed that patients with histories of excessive daytime sleepiness were too often able to maintain wakefulness for the twenty (20) minutes.
- MSLT and MWT are objective and “broadly” quantitative tests in that they both require the patient to fall asleep during the test and they measure the number of those incidents of sleep during the testing regiment, these tests are too costly and lack the degree of quantitative resolution necessary to easily permit measurement of effects of therapeutic intervention and degrees.
- Pat. No. 6,496,724 discloses a method of classifying individual EEG patterns along an alertness-drowsiness classification continuum. The results of the multi-level classification system are applied in real-time to provide feedback to the user via an audio or visual alarm, or are recorded for subsequent off-line analysis.
- Kaplan et al. U.S. Pat. No. 5,813,993 discloses an alertness and drowsiness detection and tracking system. The system claims improved performance by preserving and analyzing brain wave signal components at frequencies above 30 Hz.
- this method be inexpensive and/or of short time duration. It is still another object of the present invention that a patient's therapeutic treatment can be more accurately determined based on the quantitative number or profile from the testing of the patient, and can subsequently be adjusted accordingly based on a subsequent test of the patient.
- the present invention relates to a method of analyzing a subject for excessive daytime sleepiness, and more particularly to a quick (short duration), quantitative method of sleep disorder analysis.
- the present invention additionally relates to a method, which can be used to quantitatively measure the treatment endpoints for the subject's excessive daytime sleepiness, i.e., appropriate levels of stimulants.
- the present invention relates to a method of analyzing a subject, and preferably a human subject for excessive daytime sleepiness and more preferably for sleeping disorders.
- sleep disorders include but are not limited to narcolepsy, respiratory sleep disorders including obstructive sleep apnea, periodic limb movement disorder, restless leg syndrome, substance induced sleep disorders, dyssomnias, parasomnias, and sleep disorders related to a medical condition.
- the method of sleep analysis of the present invention is generally and preferably of a short duration.
- This method represents a major cost savings for patients and their insurance company(s), and a major time savings for the patient and physician.
- This method can be used either as a screening test for sleep disorders, or as it gains more acceptability, as the primary method of diagnosing sleep disorders. Since this method is a quantitative one, the method allows the physician or trained technician to more easily determine the degree or level of the subject's disorder, and likewise provides another method of assessing the improvement of the subject after treatment or therapy, i.e., either physically or through medication.
- the present invention further is related to a system used for the analysis.
- the system is potentially inexpensive and portable allowing for more extensive screening of the public for these types of disorders.
- This system could be used in a physician's office, or directly at the patient's home by the physician or trained technician.
- the present invention includes a method of analyzing a subject for sleep disorders over a test time period comprising the steps of determining that a subject has maintained a normal sleeping pattern prior to the analysis; using at least one sensor to measure the subject's brain wave signals over a measurement time period, the measurement time period comprising a number of time segments; analyzing the subject's brain wave signals to estimate or determine a number or a power spectrum profile for each time segment; and making a determination that the subject has a sleep disorder based in part on a computed number based on the number for each time segment over the measurement time period exceeding a predetermined threshold number, a profile of the numbers over the measurement time period exceeding a predetermined threshold profile over the time period, or the power spectrum profile exceeding a predetermined threshold power spectrum profile over the measurement time period.
- this embodiment further includes the method wherein the subject's brain wave signals is transformed to a power spectrum, the power spectrum comprising an alpha component and one or more sub-alpha components, the subject's brain wave signals are analyzed to determine a ratio of the one or more sub-alpha components to the alpha component of the power spectrum, and the determination of whether the subject has a sleep disorder is based in part on an average of the ratio of the one or more sub-alpha components to the alpha component exceeding a predetermined threshold number or threshold profile over the measurement time period.
- the present invention includes a method of analyzing a subject for excessive daytime sleepiness over a test time period comprising the steps of using at least one sensor to measure a subject's brain wave signals over a measurement time period, the measurement time period comprising a number of time segments; analyzing the subject's brain wave signals to estimate or determine a power spectrum profile for each time segment of the measurement time period, the power spectrum comprising a alpha component and at least one sub-alpha component, and from these components a ratio of the one or more sub-alpha components to the alpha components for each time segment; and making a determination of the degree of excessive daytime sleepiness based in part on the ratio over the measurement time period.
- the present invention includes a method of analyzing a subject for excessive daytime sleepiness over a test time period comprising the steps of using at least one sensor to measure a subject's brain wave signals over a measurment time period, the measurement time period comprising a number of time segments; analyzing the subject's brain wave signals to estimate or determine a number from the power spectrum of the brain wave signals in the from about 0 to about 30 Hz range or a power spectrum profile from the signal components from the brain wave signals in the from about 0 to about 30 Hz range for each time segment; and making a determination of the degree of excessive daytime sleepiness based in part on the number or the power spectrum profile for the time segments over the measurement time period wherein the measurement time period begins at least about 2 minutes after the test time period beings and wherein the test time period is less than about 60 minutes.
- the present invention includes a method of analyzing a subject for sleep disorders comprising the steps of placing at least one sensor onto a subjects head having a brain wave signal; providing a stimulus to the subject; measuring the subject's response to the stimulus and the brain wave signal through the sensor; analyzing the brain wave signal; and making a determination that the subject has a sleep disorder based in part on the brain wave signal analysis over a measurement time period, and in part on the subject's response to the stimulus over a period of time.
- the present invention includes a method of therapeutically treating a subject for sleep disorders comprising the steps of quantitatively analyzing a subjects brain wave signals and using the quantitative analysis in estimating or determining whether the subject has a sleeping disorder; making a physical change to the subject or giving the subject a medication to make an improvement to the subject's sleeping disorder based in part on the quantitative analysis; quantitatively analyzing a second time the subjects brain wave signals to estimate or determine the extent of the improvement to the subject's sleeping disorder; and, if necessary, making an additional physical change to the subject or reducing or increasing the medication in response to the previous step.
- the present invention includes a system for analyzing sleep disorders of a subject comprising at least one brain wave sensor that measures brain wave signals; a component for delivering a stimulus to a subject; a component for response by the subject to the delivered stimulus; a processor or computer that analyzes the measured brain wave signals in relation to the stimulus to and response from the subject to determine whether the subject suffers from a sleeping disorder.
- FIG. 1 is an illustration of a subject wearing a sensor to pickup and transmit brain wave signals to a computer for quantitatively analyzing the subject for excessive daytime sleepiness and/or sleep disorders.
- FIG. 2 is a graph showing a comparison of a number of subjects' profiles with a threshold profile to determine whether the subjects suffer from a sleeping disorder.
- FIG. 3 is another graph showing a comparison of the a number of subjects' cumulative profiles with a threshold cumulative profile to determine whether the subjects suffer from a sleeping disorder.
- the present invention relates to a method of analyzing a subject for excessive daytime sleepiness, and more particularly to a quick (short duration), quantitative method of sleep disorder analysis.
- the present invention also includes a sleep analysis system.
- Various embodiments of the present invention include a step for determining whether the subject being analyzed for a sleep disorder maintained a normal sleeping pattern prior to the analysis.
- This step can be performed or accomplished a number of ways.
- the subject can be questioned regarding his or her previous sleep patterns.
- the subject can be requested to fill out a questionnaire, which then can be graded to determine whether his or her previous sleep patterns where normal (or appeared normal).
- the subject might undergo all night polysomnography to evaluate the subject's sleep architecture (e.g., obtaining respiratory disturbance index to diagnose sleep apnea).
- One of the objectives of this step is to ensure that the quantitative data results of the subject's brain wave analysis are not the result of or affected by the subject's previous environmental factors i.e., intentional lack of sleep, etc. It is clear that there are numerous ways beyond those examples previously mentioned of determining whether the subject being analyzed maintained or thought they were maintaining a normal sleeping pattern prior to analysis, therefore the examples given above are included as exemplary rather than as a limitation, and those ways of determining whether the subject maintained or thought they were maintaining a normal sleeping pattern known to those skilled in the art are considered to be included in the present invention.
- the present invention involves the step of using at least one sensor to measure a subject's brain wave signals over a period of time.
- the brain wave or EEG signals can be obtained by any method know in the art, or subsequently developed by those skilled in the art to detect these types of signals.
- Sensors include but are not limited to electrodes or magnetic sensors. Since brain wave signals are, in general, electrical currents which produce associated magnetic fields, the present invention further anticipates methods of sensing those magnetic fields to acquire brain wave signals similar to those which can be obtained through for example an electrode applied to the subjects scalp.
- the subject(s) referred to in the present invention can be any form of animal. Preferably the subject(s) are mammal, and most preferably human.
- Electrodes are used to pick up the brain wave signals, these electrodes may be placed at one or several locations on the subject(s)' scalp or body.
- the electrode(s) can be placed at various locations on the subject(s) scalp in order to detect EEG or brain wave signals. Common locations for the electrodes include frontal (F), parietal (P), anterior (A), central (C) and occipital (O). Preferably for the present invention at least one electrode is placed in the occipital position.
- Typical EEG electrodes connections may have an impedance in the range of from 5 to 10 K ohms.
- a conductive paste or gel may be applied to the electrode to create a connection with an impedance below 2 K ohms.
- the subject(s) skin may be mechanically abraded, the electrode may be amplified or a dry electrode may be used.
- Dry physiological recording electrodes of the type described in U.S. patent application Ser. No. 09/949,055 are herein incorporated by reference. Dry electrodes provide the advantage that there is no gel to dry out, no skin to abrade or clean, and that the electrode can be applied in hairy areas such as the scalp.
- electrodes are used as the sensor(s), preferably at least two electrodes are used—one signal electrode and one reference electrode; and if further EEG or brain wave signal channels are desired the number of electrodes required will depend on whether separate reference electrodes or a single reference electrode is used.
- an electrode is used and the placement of at least one of the electrodes is at or near the occipital lobe of the subject's scalp.
- FIG. 1 is an illustration of a subject wearing a sensor to pickup and transmit brain wave signals to a computer for quantitatively analyzing the subject for excessive daytime sleepiness and/or sleep disorders.
- an electrode (sensor) 10 is placed on the central lobe 12 of the subject's scalp 14 , and another reference electrode (sensor) 1 . 7 is placed behind the subject's ear 15 .
- the electrodes 10 are dry electrodes.
- the electrodes 10 are releasable connected to leads 16 which can be connected to a processing unit (not shown) or to a wireless telemetry unit 18 , which transmits the raw brain wave or EEG signal to a receiver 19 and then processing unit 20 for analysis.
- the number of electrodes 10 and likewise signals to be analyzed depends on the environment in which the sleep analysis system is to be used. In a more formal setting, it may be desirable to collect and analyze multiple brain wave or EEG signals from several locations on a subject's scalp. In a less formal setting such as a family practitioner's, internist's or general practitioner's office, it may be desirable to apply one sensor that requires little or no expertise in placement of the electrode, i.e., a dry electrode.
- the electrodes can preferably be placed in the locations of the frontal (F), parietal (P), anterior (A), central (C) and occipital (O) lobes of the brain.
- the subject is preferably instructed to sit in a comfortable chair or lie down in a supine position. Further preferably, the subject is instructed to close their eyes throughout the test and relax, but to try and not fall asleep.
- the subject's brain wave or EEG signals are preferably recorded and analyzed during a test time period.
- the test time period is defined as the period of time in which the subject's brain waves signals are measured or recorded, and in general this corresponds closely to the time period in which the subject is hooked up to the quantitative, excessive daytime sleepiness measuring system.
- the test time period is preferably less than about 4 hours, more preferably less than about 2 hours, still more preferably less than about 60 minutes, still more preferably less than about 30 minutes, even still more preferably less than about 20 minutes, even still more preferably less than 15 minutes, and most preferably less than about 10 minutes. It has been found, generally, that a given amount of test time is necessary for a subject's brain wave signals to evolve into a consistent pattern. Therefore, the period of time in which brain waves are used for analysis preferably begins after this initial period of inconsistent data and is called the measurement time period.
- the measurement time period (also known as the time period over which the data is analyzed) begins at least 2 minutes after the test time period began, more preferably 4 minutes after the test time period began and most preferably 6 minutes after the test time period began.
- the measurement time period ends before or at the time the test time period ends.
- the test may include the subject's response to one or more types of stimulus. Still further preferably, if this step, is included into the method, the subject is instructed to respond to certain types of the one or more stimulus. Still further preferably, the subject's response and lack of response are measured along with the timing of the subjects response relative to the stimulus.
- the stimulus provided to the subject can be based on any of the subject's senses including hearing, sight, smell, touch, or taste. Preferably, because the subject may be requested to close their eyes during the test (and given the types of stimuli devices currently readily available) the stimulus is based on the subject's sense of hearing or touch. More preferably, the stimulus is based on the subject's sense of hearing.
- a processor such as a PC computer with specialized software, is used to generate a series of auditory tones for the subject. These auditory tones are further linked to the brain wave or EEG signals of the subject. With respect to the auditory tones, the subject could be instructed to listen for a particular tone (and respond in some way) and ignore the other tones. An example of this would be to generate a series of auditory tones in the form of phonemes such as “BA” or “GI”. The volume level would be set low enough such that the subject would be able to comfortably hear the tone but not too loud to disturb or startle. These tones can be communicated to the subject either through ear phones or speakers.
- tones would be generated by a program or software on a computer or processor respectively.
- the subjects would be instructed to listen for a particular tone and ignore other tones.
- the tones are at least 1.5 seconds apart.
- the subject will have to press a switch (e.g., a push-button) as soon as they hear a particular tone (e.g., BA) and ignore other types of tones (GI).
- a switch e.g., a push-button
- BA e.g., BA
- GI ignore other types of tones
- the subject's response to the stimulus is preferably measured and the accuracy of the subject's response is evaluated preferably by a computer or processor by examining the status of the subject's response (through for example the switch identified in the one embodiment) following the onset of the stimulus (for example the auditory tones in the same embodiment).
- the processor or computer would compute the time delay between the occurrence of the auditory stimulus and the time in which the switch is activated. If the subject manages to press the switch within the allowable interval immediately after the appropriate auditory stimulus (i.e., the tone for which the subject is instructed to respond), the analysis through the processor or computer assigns a correct response for that duration of the test.
- the processor or computer assigns an incorrect response for that duration of the test.
- the subject's reaction time and/or accuracy of response are used (in part) along with the analysis of the subject's brain waves to make a determination of whether the subject is suffering from a sleeping disorder.
- the subject's measured response can be used as an indicator as to whether the subject is cooperating with the test by comparing the measured response with the analyzed brain wave signals over the same time period.
- the subject's brain wave or EEG signals are collected and analyzed to estimate or determine a number or power spectrum profile for each sampling moment or time segment.
- the signals can be collected through conventional recorders, analog signal processors or similar other devices and analyze after collection, however, given the easy access to digital technology such as processors and computers preferably the collection and analysis of the brain wave or EEG signals is carried out nearly concurrently (or simultaneously) using these digital means.
- a processor or computer receives digitized signals based on analog signals from the sensor used to measure the subject's brain wave or EEG signals.
- the sampled brain wave or EEG signals are then band-pass filtered in preferably the 0.1 Hz to 50 Hz range using a digital filter, e.g. a butterworth filter. This is followed by a first step of artifact detection and removal.
- the artifacts in the data are preferably identified and removed.
- the band-pass filtered data of the brain wave or EEG sample is compared with the standard deviation of the brain wave or EEG sample over the entire test or a portion of the test in which that sample is taken. If the brain wave or EEG sample is greater than some multiple of the standard deviation, preferably greater than about 3 times and more preferably greater than about 5 times, then that EEG sample is marked as an artifact and is replaced by a value that is derived from the artifact-free segment of the data immediately before.
- the artifact-free segment of data is that portion of the sampling data preferably greater than about 0.1 seconds before and also preferably less than about 0.6 before the artifact in sampling time.
- This brain wave or EEG sample data is then preferably broken into consecutive sampling moments or time segments. These sampling moments or time segments are preferably 2 seconds in duration allowing for example 400 sampling points if the brain wave or EEG signal sampling rate was 200 samples per second. Each consecutive time segment is then transformed into a frequency domain representation (also known as power spectrum or frequency power spectrum) using techniques known to those skilled in the art.
- One technique, which is preferred, is to use a standard Fast Fourier Transform method (FFT).
- FFT Fast Fourier Transform method
- the FFT coefficients obtained are then squared and scaled to obtain the power spectrum plot (i.e., the power of brain wave or EEG signal at each frequency level).
- the frequency resolution will be 0.5 Hz, and power values can be obtained for frequency bins of 0.5, 1, 1.5, 2, 2.5, . . . , 50 Hz.
- the power spectrum of each time segment is used to determine if the time segment contains movements and other types of artifacts.
- Some of the artifacts manifest themselves in abnormally large power values in all frequencies, particularly at very low frequencies ⁇ 10 Hz, compared to the power spectrum of the entire study.
- the entire sampling segment in this embodiment 2 seconds is marked as contaminated by the artifacts and is replaced by an average power spectrum of the artifact-free segments.
- Brain wave data that is monitored and analyzed according to the present invention is between about 0.1 to about 50 Hz. Preferably, between 0.1 to about 30 Hz, more preferably between about 0.1 to about 15 Hz, and most preferably between about 0.1 to about 13 Hz.
- brain waves are categorized as delta, theta, alpha and beta waves or components.
- Delta waves or components generally exhibit brain wave or EEG activity in the frequency range from about 1 Hz to about 4 Hz
- theta waves or components generally in the frequency range from about 6 Hz to about 7.5 Hz
- alpha waves or components generally in the frequency range from about 7.5 Hz to about 13 Hz
- beta waves or components generally in the frequency range from about 13 Hz to about 30 Hz.
- the boundaries between these components are somewhat arbitrary. Thus, the foregoing delineations are intended to be exemplary and not limiting. Furthermore, use of other components, whether now known or later discovered, are within the scope of the invention.
- the frequency power spectrum or power spectrum is used to determined a number for each sampling moment or time segment, and an average number over a measurement time period, which may include numerous sampling moments or time segments is determined. This number is then compared with a predetermined threshold number which has been calculated (and in a sense calibrated) based on previous tests using this technique on individuals with no known sleeping disorders, and individuals with a range of known sleeping disorders.
- a number is obtained by using only the frequency power spectrum or power spectrum data at frequencies below about 13 Hz.
- data at frequencies below about 13 Hz is subjected to some form of mathematical manipulation such as being input into an algorithm.
- the weighting of data from the various frequency power spectrums or power spectrum may vary as well as the number of power spectrum frequencies or power spectrum used in order to magnify the quantitative resolution of this method.
- a number is obtained at least in part based upon the sum of the power in the 0.5–7.5 Hz frequency (and even more preferably in the 4–7.5 Hz frequency) bands divided by the sum of the power in the 7.5–13 Hz frequency bands (and more preferably in the 7.5–9.5 Hz frequency bands) to determine a ratio or an average number over a given measurement time period or period of time. This number is then compared with a predetermined threshold number which has been calculated (and in a sense calibrated) based on previous tests using this even more specific technique on individuals with no known sleeping disorders, and individuals with a range of known sleeping disorders.
- the frequency power spectrum or power spectrum is used to determine a profile of the subjects a sampling data over a period of time or measurement time period.
- the period of time or measurement time period for the profile may either be the entire testing period, some portion thereof, which may include numerous sampling moments or time segments.
- This profile is then compared with a predetermined threshold profile which has been determined based on previous tests using this technique on individuals with no known sleeping disorders, and individuals with a range of known sleeping disorders (or based on what is determined to be a typical profile for someone with no known sleeping disorder or for an individual with a specific sleeping disorder).
- a profile is obtained by using only the frequency power spectrum or power spectrum data at frequencies below about 13 Hz.
- data at frequencies below about 13 Hz is subjected to some form of mathematical manipulation such as being input into an algorithm to form the profile.
- the weighting of data from the various power spectrum frequencies may vary as well as the number of power spectrum frequencies or power spectrum used.
- a profile is obtained over a period of time equal to all or part of the test that at least in part based upon the sum of the power in the 0.5–7.5 Hz frequency (and even more preferably in the 4–7.5 Hz frequency) bands divided by the sum of the power in the 7.5–13 Hz frequency bands to determine an average number over a given period of time or measurement time period.
- This frequency power spectrum or power spectrum data is then plotted over time to create a profile for the subject over the measurement time period.
- This profile is then compared with a predetermined profile which has been determine based on previous tests using this same even more specific technique on individuals with no known sleeping disorders, and individuals with a range of known sleeping disorders (or based on what is determined to be a typical profile for someone with no known sleeping disorder or for an individual with a specific sleeping disorder).
- FIGS. 2 and 3 show the frequency power spectrum or power spectrum profiles resulting from the measurement and analysis of a subject's brain wave signals over a measurement time period.
- the data was collected using a number of EEG electrodes applied to a subject for the measurement time period.
- the data was then analyzed with a computer processor to determine a number for each time segment.
- the measurement time period in both of these FIG.'s is the same as or very similar to the test time period.
- the number for each time segment was then plotted over the measurement time period to create a profile for the subject.
- two of the profiles quantitatively indicate that the subject has a sleeping disorder given that the subject's profile exceeds a predetermined threshold profile over the measurement time period (which can also be something less than the test time period).
- the analyzed data generated for the FIG.'s can also be used to create a number for each time segment.
- the number for each time segment can be used by itself, or an average over the time segments can be used, or another number can be computed based on the number for each time segment.
- This number for the subject can be used in part to compare over the measurement time period to a predetermined threshold number to determine whether the subject suffers from a sleeping disorder or excessive daytime sleepiness.
- the power spectrum profiles for each time segment can be plotted over the measurement time period to create a profile for the subject. This profile can then be compared with a predetermined threshold power spectrum profile to determine whether the subject suffers from a sleeping disorder or excessive daytime sleepiness.
- FIG. 2 is a graph which is based on analysis of different subject's brain waves.
- a number was calculated from the subject's power spectrum data for each time segment over the measurment time period, and is one embodiment showing a quantitative profile comparison.
- the sub-alpha power spectrum data were divided by the alpha power spectrum data to give the ratio index or number referred to by the y-axis.
- the horizontal line 100 in the graph represents the threshold profile where if the number based on the subject's power spectrum data for each time segment exceeds or substantially exceeds the threshold profile then the subject suffers from excessive daytime sleepiness or a sleeping disorder. It is clear from the graph that two of the subjects 110 and 112 do not exceed this threshold profile.
- FIG. 3 is another graph which is based on analysis of different subject's brain waves.
- a number was calculated from the subject's power spectrum data for each time segment over a measurement time period, and is another embodiment showing a quantitative profile comparison.
- the sub-alpha power spectrum data were divided by the alpha power spectrum data to give the ratio index or number and this ratio index or number was cumulatively calculated over the measurement time period.
- the straight sloped line 200 in the graph represents the threshold profile where if the number from subject's power spectrum data for each time segment exceeds or substantially exceeds the threshold profile over the measurement time period, then it is determined that the subject suffers from excessive daytime sleepiness or a sleeping disorder.
- the methods described above are used to therapeutically treat a subject for sleeping disorders, this being a new method unto itself.
- the subject's brain wave signals are quantitatively analyzed to determine if the subject has a sleeping disorder as described above by indexing or profiling the subject, or by some other method that henceforth becomes known to those skilled in the art. If the subject is found to have a sleeping disorder; a physician, technician or veterinarian therapeutically treats the subject by either making a change in either the physical sleeping conditions of the subject or by giving the subject a medication to make an improvement to the subject's sleeping disorder.
- the subject is then re-tested by quantitatively analyzing the subject's brain wave signals to estimate or determine the extent of improvement of the subject's sleeping disorder after some reasonable period of time to allow for the therapy to have its effect. Then if based on the results of the re-test the subject is found to have fully improved no further steps are necessary. If, however, the subject is determined to have a quantitative number or profile which still varies from a normal subject (what is determined to be a quantitative number or profile for a subject with no sleeping disorders), a decision can be had to increase or reduce the therapeutic treatment or to add additional therapies to get alignment of the subject's quantitative number or profile with that of a normal subject. The alternating of the testing and therapeutic treatment possibly could have a number of iterations.
- the present invention not only includes the above methods of quantitatively diagnosing a subject for sleep disorders and the further therapeutic treatment of the subject, but also a monitor or system for diagnosing sleep disorders.
- the monitor or system comprises a brain wave sensor that measures brain wave signals; a component for delivering a stimulus to a subject; a component for response by the subject to the delivered stimulus; a processor or computer that analyzes the measured brain wave signals in relation to the stimulus to and response from the subject.
- the sensor for the monitor or system is the same as that described for use in the above methods.
- the sensor is designed to feed the brain wave or EEG signals through either leads or a wireless telemetry system into a processor or computer.
Abstract
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Cited By (135)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20040254493A1 (en) * | 2003-06-13 | 2004-12-16 | The Regents Of The University Of Michigan | System and method for analysis of respiratory cycle-related EEG changes in sleep-disordered breathing |
US20050177058A1 (en) * | 2004-02-11 | 2005-08-11 | Nina Sobell | System and method for analyzing the brain wave patterns of one or more persons for determining similarities in response to a common set of stimuli, making artistic expressions and diagnosis |
US20050268916A1 (en) * | 2004-05-18 | 2005-12-08 | Mumford John R | Mask assembly with integrated sensors |
US20060019224A1 (en) * | 2004-07-23 | 2006-01-26 | Pics, Inc. | Insomnia assessment and treatment device and method |
US20060258930A1 (en) * | 2004-05-18 | 2006-11-16 | Jianping Wu | Device for use in sleep stage determination using frontal electrodes |
US20070208269A1 (en) * | 2004-05-18 | 2007-09-06 | Mumford John R | Mask assembly, system and method for determining the occurrence of respiratory events using frontal electrode array |
US20070249952A1 (en) * | 2004-02-27 | 2007-10-25 | Benjamin Rubin | Systems and methods for sleep monitoring |
US20080127978A1 (en) * | 2006-12-05 | 2008-06-05 | Benjamin Rubin | Pressure support system with dry electrode sleep staging device |
US20080154111A1 (en) * | 2006-12-22 | 2008-06-26 | Jianping Wu | Method, system and device for sleep stage determination using frontal electrodes |
US20080177197A1 (en) * | 2007-01-22 | 2008-07-24 | Lee Koohyoung | Method and apparatus for quantitatively evaluating mental states based on brain wave signal processing system |
US20080180278A1 (en) * | 2007-01-31 | 2008-07-31 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for wireless telemetry |
GB2447640A (en) * | 2007-03-14 | 2008-09-24 | Axon Sleep Res Lab Inc | Sleep stage monitoring with dry electrodes, and alarm method |
US20080269841A1 (en) * | 2007-04-30 | 2008-10-30 | Medtronic, Inc. | Chopper mixer telemetry circuit |
US20090024475A1 (en) * | 2007-05-01 | 2009-01-22 | Neurofocus Inc. | Neuro-feedback based stimulus compression device |
US20090024447A1 (en) * | 2007-03-29 | 2009-01-22 | Neurofocus, Inc. | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous sytem, and effector data |
US20090024449A1 (en) * | 2007-05-16 | 2009-01-22 | Neurofocus Inc. | Habituation analyzer device utilizing central nervous system, autonomic nervous system and effector system measurements |
US20090030287A1 (en) * | 2007-06-06 | 2009-01-29 | Neurofocus Inc. | Incented response assessment at a point of transaction |
US20090030930A1 (en) * | 2007-05-01 | 2009-01-29 | Neurofocus Inc. | Neuro-informatics repository system |
US20090030303A1 (en) * | 2007-06-06 | 2009-01-29 | Neurofocus Inc. | Audience response analysis using simultaneous electroencephalography (eeg) and functional magnetic resonance imaging (fmri) |
US20090036755A1 (en) * | 2007-07-30 | 2009-02-05 | Neurofocus, Inc. | Entity and relationship assessment and extraction using neuro-response measurements |
US20090036756A1 (en) * | 2007-07-30 | 2009-02-05 | Neurofocus, Inc. | Neuro-response stimulus and stimulus attribute resonance estimator |
US20090043586A1 (en) * | 2007-08-08 | 2009-02-12 | Macauslan Joel | Detecting a Physiological State Based on Speech |
US20090063256A1 (en) * | 2007-08-28 | 2009-03-05 | Neurofocus, Inc. | Consumer experience portrayal effectiveness assessment system |
US20090062681A1 (en) * | 2007-08-29 | 2009-03-05 | Neurofocus, Inc. | Content based selection and meta tagging of advertisement breaks |
US20090062629A1 (en) * | 2007-08-28 | 2009-03-05 | Neurofocus, Inc. | Stimulus placement system using subject neuro-response measurements |
US20090063255A1 (en) * | 2007-08-28 | 2009-03-05 | Neurofocus, Inc. | Consumer experience assessment system |
US20090082829A1 (en) * | 2007-09-26 | 2009-03-26 | Medtronic, Inc. | Patient directed therapy control |
US20090082643A1 (en) * | 2007-09-20 | 2009-03-26 | Neurofocus, Inc. | Analysis of marketing and entertainment effectiveness using magnetoencephalography |
US20090082691A1 (en) * | 2007-09-26 | 2009-03-26 | Medtronic, Inc. | Frequency selective monitoring of physiological signals |
US20090105785A1 (en) * | 2007-09-26 | 2009-04-23 | Medtronic, Inc. | Therapy program selection |
US20090112077A1 (en) * | 2004-01-08 | 2009-04-30 | Neurosky, Inc. | Contoured electrode |
US20090156925A1 (en) * | 2004-01-08 | 2009-06-18 | Kyung-Soo Jin | Active dry sensor module for measurement of bioelectricity |
US20090157171A1 (en) * | 2007-12-18 | 2009-06-18 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Treatment indications informed by a priori implant information |
US20090157056A1 (en) * | 2007-12-18 | 2009-06-18 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090192556A1 (en) * | 2008-01-25 | 2009-07-30 | Medtronic, Inc. | Sleep stage detection |
US20090234198A1 (en) * | 2008-03-13 | 2009-09-17 | Kimberly Vorse | Healthcare knowledgebase |
US7593767B1 (en) * | 2006-06-15 | 2009-09-22 | Cleveland Medical Devices Inc | Ambulatory sleepiness and apnea propensity evaluation system |
US20090281408A1 (en) * | 2008-05-06 | 2009-11-12 | Neurosky, Inc. | Dry Electrode Device and Method of Assembly |
US20090287101A1 (en) * | 2008-05-13 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090287109A1 (en) * | 2008-05-14 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090287191A1 (en) * | 2007-12-18 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090287094A1 (en) * | 2008-05-15 | 2009-11-19 | Seacrete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090292212A1 (en) * | 2008-05-20 | 2009-11-26 | Searete Llc, A Limited Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090327068A1 (en) * | 2007-05-16 | 2009-12-31 | Neurofocus Inc. | Neuro-physiology and neuro-behavioral based stimulus targeting system |
US20090328089A1 (en) * | 2007-05-16 | 2009-12-31 | Neurofocus Inc. | Audience response measurement and tracking system |
US20100033240A1 (en) * | 2007-01-31 | 2010-02-11 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for impedance measurement |
US20100099954A1 (en) * | 2008-10-22 | 2010-04-22 | Zeo, Inc. | Data-driven sleep coaching system |
US20100114223A1 (en) * | 2008-10-31 | 2010-05-06 | Wahlstrand John D | Determining intercardiac impedance |
US20100186032A1 (en) * | 2009-01-21 | 2010-07-22 | Neurofocus, Inc. | Methods and apparatus for providing alternate media for video decoders |
US20100327887A1 (en) * | 2007-01-31 | 2010-12-30 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for impedance measurement |
US7865234B1 (en) * | 2003-06-04 | 2011-01-04 | Cleveland Medical Devices Inc. | Quantitative method for the therapeutic treatment of sleep disorders |
US20110047121A1 (en) * | 2009-08-21 | 2011-02-24 | Neurofocus, Inc. | Analysis of the mirror neuron system for evaluation of stimulus |
US20110046473A1 (en) * | 2009-08-20 | 2011-02-24 | Neurofocus, Inc. | Eeg triggered fmri signal acquisition |
US20110046504A1 (en) * | 2009-08-20 | 2011-02-24 | Neurofocus, Inc. | Distributed neuro-response data collection and analysis |
US20110046503A1 (en) * | 2009-08-24 | 2011-02-24 | Neurofocus, Inc. | Dry electrodes for electroencephalography |
US20110068861A1 (en) * | 2007-01-31 | 2011-03-24 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier |
US20110078762A1 (en) * | 2009-09-29 | 2011-03-31 | Ebay, Inc. | Mobile or user device authentication and tracking |
US20110105937A1 (en) * | 2009-10-29 | 2011-05-05 | Neurofocus, Inc. | Analysis of controlled and automatic attention for introduction of stimulus material |
US20110106621A1 (en) * | 2009-10-29 | 2011-05-05 | Neurofocus, Inc. | Intracluster content management using neuro-response priming data |
US20110119129A1 (en) * | 2009-11-19 | 2011-05-19 | Neurofocus, Inc. | Advertisement exchange using neuro-response data |
US20110119124A1 (en) * | 2009-11-19 | 2011-05-19 | Neurofocus, Inc. | Multimedia advertisement exchange |
US20110190594A1 (en) * | 2010-02-04 | 2011-08-04 | Robert Bosch Gmbh | Device and method to monitor, assess and improve quality of sleep |
US20110218454A1 (en) * | 2008-11-14 | 2011-09-08 | Philip Low | Methods of Identifying Sleep & Waking Patterns and Uses |
US20110237971A1 (en) * | 2010-03-25 | 2011-09-29 | Neurofocus, Inc. | Discrete choice modeling using neuro-response data |
WO2011151202A1 (en) * | 2010-06-03 | 2011-12-08 | Cordial Medical Europe B.V. | Improved measurement of auditory evoked responses |
CN102481121A (en) * | 2009-09-03 | 2012-05-30 | 皇家飞利浦电子股份有限公司 | Consciousness monitoring |
US8249896B1 (en) * | 2007-02-26 | 2012-08-21 | Mk3Sd, Ltd. | Method or secure diagnostic screening, servicing, treatment, and compliance monitoring for sleep apnea for oil and gas offshore workers, construction workers and heavy equipment workers |
US8270814B2 (en) | 2009-01-21 | 2012-09-18 | The Nielsen Company (Us), Llc | Methods and apparatus for providing video with embedded media |
US8392250B2 (en) | 2010-08-09 | 2013-03-05 | The Nielsen Company (Us), Llc | Neuro-response evaluated stimulus in virtual reality environments |
US8392251B2 (en) | 2010-08-09 | 2013-03-05 | The Nielsen Company (Us), Llc | Location aware presentation of stimulus material |
US8396744B2 (en) | 2010-08-25 | 2013-03-12 | The Nielsen Company (Us), Llc | Effective virtual reality environments for presentation of marketing materials |
US8464288B2 (en) | 2009-01-21 | 2013-06-11 | The Nielsen Company (Us), Llc | Methods and apparatus for providing personalized media in video |
US8473043B1 (en) * | 2004-12-22 | 2013-06-25 | Neuro Wave Systems Inc. | Neuro-behavioral test method for screening and evaluating therapy for ADHD and system |
US8554325B2 (en) | 2007-10-16 | 2013-10-08 | Medtronic, Inc. | Therapy control based on a patient movement state |
US8636670B2 (en) | 2008-05-13 | 2014-01-28 | The Invention Science Fund I, Llc | Circulatory monitoring systems and methods |
US20140031712A1 (en) * | 2011-04-05 | 2014-01-30 | Neurokeeper Technologies Ltd. | System and method for detecting neurological deterioration |
US8655428B2 (en) | 2010-05-12 | 2014-02-18 | The Nielsen Company (Us), Llc | Neuro-response data synchronization |
US8821397B2 (en) | 2010-09-28 | 2014-09-02 | Masimo Corporation | Depth of consciousness monitor including oximeter |
WO2014200433A1 (en) * | 2013-06-11 | 2014-12-18 | Agency For Science, Technology And Research | Sound-induced sleep method and a system therefor |
US8989835B2 (en) | 2012-08-17 | 2015-03-24 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US20150320359A1 (en) * | 2007-02-16 | 2015-11-12 | Cim Technology Inc. | Wearable mini-size intelligent healthcare system |
US20150351663A1 (en) * | 2013-01-24 | 2015-12-10 | B.G. Negev Technologies And Applications Ltd. | Determining apnea-hypopnia index ahi from speech |
US9211411B2 (en) | 2010-08-26 | 2015-12-15 | Medtronic, Inc. | Therapy for rapid eye movement behavior disorder (RBD) |
US9292858B2 (en) | 2012-02-27 | 2016-03-22 | The Nielsen Company (Us), Llc | Data collection system for aggregating biologically based measures in asynchronous geographically distributed public environments |
US9320450B2 (en) | 2013-03-14 | 2016-04-26 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9364163B2 (en) | 2012-01-24 | 2016-06-14 | Neurovigil, Inc. | Correlating brain signal to intentional and unintentional changes in brain state |
US9370457B2 (en) | 2013-03-14 | 2016-06-21 | Select Comfort Corporation | Inflatable air mattress snoring detection and response |
CN105748070A (en) * | 2016-04-26 | 2016-07-13 | 深圳市思立普科技有限公司 | Sleep intervention method for improving sleep quality |
US9392879B2 (en) | 2013-03-14 | 2016-07-19 | Select Comfort Corporation | Inflatable air mattress system architecture |
CN105852853A (en) * | 2016-04-26 | 2016-08-17 | 深圳市思立普科技有限公司 | Memory control method for improving sleeping quality |
US9439150B2 (en) | 2013-03-15 | 2016-09-06 | Medtronic, Inc. | Control of spectral agressors in a physiological signal montoring device |
US9451303B2 (en) | 2012-02-27 | 2016-09-20 | The Nielsen Company (Us), Llc | Method and system for gathering and computing an audience's neurologically-based reactions in a distributed framework involving remote storage and computing |
US9445751B2 (en) | 2013-07-18 | 2016-09-20 | Sleepiq Labs, Inc. | Device and method of monitoring a position and predicting an exit of a subject on or from a substrate |
US9454646B2 (en) | 2010-04-19 | 2016-09-27 | The Nielsen Company (Us), Llc | Short imagery task (SIT) research method |
CN105999510A (en) * | 2016-04-26 | 2016-10-12 | 深圳市思立普科技有限公司 | Physiological control method capable of improving sleep quality |
US9504416B2 (en) | 2013-07-03 | 2016-11-29 | Sleepiq Labs Inc. | Smart seat monitoring system |
US9510688B2 (en) | 2013-03-14 | 2016-12-06 | Select Comfort Corporation | Inflatable air mattress system with detection techniques |
US9521979B2 (en) | 2013-03-15 | 2016-12-20 | Medtronic, Inc. | Control of spectral agressors in a physiological signal monitoring device |
US9569986B2 (en) | 2012-02-27 | 2017-02-14 | The Nielsen Company (Us), Llc | System and method for gathering and analyzing biometric user feedback for use in social media and advertising applications |
US9622703B2 (en) | 2014-04-03 | 2017-04-18 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9635953B2 (en) | 2013-03-14 | 2017-05-02 | Sleepiq Labs Inc. | Inflatable air mattress autofill and off bed pressure adjustment |
EP3096235A4 (en) * | 2014-01-17 | 2017-09-06 | Nintendo Co., Ltd. | Information processing system, information processing server, information processing program, and fatigue evaluation method |
CN107205652A (en) * | 2014-12-05 | 2017-09-26 | 新加坡科技研究局 | The sleep analysis system with automatic mapping is generated with feature |
US9770114B2 (en) | 2013-12-30 | 2017-09-26 | Select Comfort Corporation | Inflatable air mattress with integrated control |
US9770204B2 (en) | 2009-11-11 | 2017-09-26 | Medtronic, Inc. | Deep brain stimulation for sleep and movement disorders |
US9775545B2 (en) | 2010-09-28 | 2017-10-03 | Masimo Corporation | Magnetic electrical connector for patient monitors |
US9844275B2 (en) | 2013-03-14 | 2017-12-19 | Select Comfort Corporation | Inflatable air mattress with light and voice controls |
US9924904B2 (en) | 2014-09-02 | 2018-03-27 | Medtronic, Inc. | Power-efficient chopper amplifier |
US9936250B2 (en) | 2015-05-19 | 2018-04-03 | The Nielsen Company (Us), Llc | Methods and apparatus to adjust content presented to an individual |
US10058467B2 (en) | 2013-03-14 | 2018-08-28 | Sleep Number Corporation | Partner snore feature for adjustable bed foundation |
US10092242B2 (en) | 2015-01-05 | 2018-10-09 | Sleep Number Corporation | Bed with user occupancy tracking |
US10149549B2 (en) | 2015-08-06 | 2018-12-11 | Sleep Number Corporation | Diagnostics of bed and bedroom environment |
US10154815B2 (en) | 2014-10-07 | 2018-12-18 | Masimo Corporation | Modular physiological sensors |
US10182661B2 (en) | 2013-03-14 | 2019-01-22 | Sleep Number Corporation and Select Comfort Retail Corporation | Inflatable air mattress alert and monitoring system |
US10251595B2 (en) | 2006-03-24 | 2019-04-09 | Medtronic, Inc. | Collecting gait information for evaluation and control of therapy |
US10300283B2 (en) | 2004-03-16 | 2019-05-28 | Medtronic, Inc. | Determination of sleep quality for neurological disorders |
US10448749B2 (en) | 2014-10-10 | 2019-10-22 | Sleep Number Corporation | Bed having logic controller |
US10674832B2 (en) | 2013-12-30 | 2020-06-09 | Sleep Number Corporation | Inflatable air mattress with integrated control |
USRE48286E1 (en) | 2001-03-12 | 2020-10-27 | Intercept Pharmaceuticals, Inc. | Steroids as agonists for FXR |
US10963895B2 (en) | 2007-09-20 | 2021-03-30 | Nielsen Consumer Llc | Personalized content delivery using neuro-response priming data |
US11238718B2 (en) * | 2018-05-01 | 2022-02-01 | Pioneer Corporation | Vibration control device |
US11273283B2 (en) | 2017-12-31 | 2022-03-15 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
US11364361B2 (en) | 2018-04-20 | 2022-06-21 | Neuroenhancement Lab, LLC | System and method for inducing sleep by transplanting mental states |
US11439345B2 (en) | 2006-09-22 | 2022-09-13 | Sleep Number Corporation | Method and apparatus for monitoring vital signs remotely |
US11452839B2 (en) | 2018-09-14 | 2022-09-27 | Neuroenhancement Lab, LLC | System and method of improving sleep |
US11481788B2 (en) | 2009-10-29 | 2022-10-25 | Nielsen Consumer Llc | Generating ratings predictions using neuro-response data |
US11596795B2 (en) | 2017-07-31 | 2023-03-07 | Medtronic, Inc. | Therapeutic electrical stimulation therapy for patient gait freeze |
US11696724B2 (en) * | 2008-11-14 | 2023-07-11 | Neurovigil, Inc. | Methods of identifying sleep and waking patterns and uses |
US11704681B2 (en) | 2009-03-24 | 2023-07-18 | Nielsen Consumer Llc | Neurological profiles for market matching and stimulus presentation |
US11717686B2 (en) | 2017-12-04 | 2023-08-08 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to facilitate learning and performance |
US11723579B2 (en) | 2017-09-19 | 2023-08-15 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement |
US11737938B2 (en) | 2017-12-28 | 2023-08-29 | Sleep Number Corporation | Snore sensing bed |
US11786694B2 (en) | 2019-05-24 | 2023-10-17 | NeuroLight, Inc. | Device, method, and app for facilitating sleep |
US11883189B1 (en) | 2007-06-08 | 2024-01-30 | Cleveland Medical Devices Inc. | Method and device for in-home sleep and signal analysis |
US11908567B1 (en) | 2007-06-08 | 2024-02-20 | Cleveland Medical Devices Inc. | Sleep diagnostic system for the testing of multiple subjects being tested at remote locations |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101502418B (en) * | 2008-02-05 | 2011-05-04 | 周常安 | Ear wearing type electroencephalogram detection apparatus |
Citations (21)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5520176A (en) * | 1993-06-23 | 1996-05-28 | Aequitron Medical, Inc. | Iterative sleep evaluation |
US5595488A (en) | 1994-08-04 | 1997-01-21 | Vigilant Ltd. | Apparatus and method for monitoring and improving the alertness of a subject |
US5626145A (en) | 1996-03-20 | 1997-05-06 | Lockheed Martin Energy Systems, Inc. | Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection |
US5689241A (en) | 1995-04-24 | 1997-11-18 | Clarke, Sr.; James Russell | Sleep detection and driver alert apparatus |
US5740812A (en) | 1996-01-25 | 1998-04-21 | Mindwaves, Ltd. | Apparatus for and method of providing brainwave biofeedback |
US5813993A (en) * | 1996-04-05 | 1998-09-29 | Consolidated Research Of Richmond, Inc. | Alertness and drowsiness detection and tracking system |
US5884626A (en) | 1994-09-02 | 1999-03-23 | Toyota Jidosha Kabushiki Kaisha | Apparatus and method for analyzing information relating to physical and mental condition |
US5899922A (en) | 1993-05-28 | 1999-05-04 | Loos; Hendricus G. | Manipulation of nervous systems by electric fields |
US6059725A (en) | 1997-08-05 | 2000-05-09 | American Sudden Infant Death Syndrome Institute | Prolonged apnea risk evaluation |
US6070098A (en) | 1997-01-11 | 2000-05-30 | Circadian Technologies, Inc. | Method of and apparatus for evaluation and mitigation of microsleep events |
US6154123A (en) | 1997-09-05 | 2000-11-28 | Breed Automotive Technology, Inc. | Driver alertness monitoring system |
US6167298A (en) * | 1998-01-08 | 2000-12-26 | Levin; Richard B. | Devices and methods for maintaining an alert state of consciousness through brain wave monitoring |
US6204245B1 (en) | 1999-09-17 | 2001-03-20 | The Regents Of The University Of California | Treatment of narcolepsy with immunosuppressants |
US6241686B1 (en) | 1998-10-30 | 2001-06-05 | The United States Of America As Represented By The Secretary Of The Army | System and method for predicting human cognitive performance using data from an actigraph |
US6272378B1 (en) | 1996-11-21 | 2001-08-07 | 2Rcw Gmbh | Device and method for determining sleep profiles |
US6292688B1 (en) | 1996-02-28 | 2001-09-18 | Advanced Neurotechnologies, Inc. | Method and apparatus for analyzing neurological response to emotion-inducing stimuli |
US6293904B1 (en) | 1998-02-26 | 2001-09-25 | Eastman Kodak Company | Management of physiological and psychological state of an individual using images personal image profiler |
US6313749B1 (en) | 1997-01-04 | 2001-11-06 | James Anthony Horne | Sleepiness detection for vehicle driver or machine operator |
US6353396B1 (en) | 1996-07-14 | 2002-03-05 | Atlas Researches Ltd. | Method and apparatus for monitoring states of consciousness, drowsiness, distress, and performance |
US6434419B1 (en) * | 2000-06-26 | 2002-08-13 | Sam Technology, Inc. | Neurocognitive ability EEG measurement method and system |
US6496724B1 (en) * | 1998-12-31 | 2002-12-17 | Advanced Brain Monitoring, Inc. | Method for the quantification of human alertness |
Family Cites Families (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4503863A (en) * | 1979-06-29 | 1985-03-12 | Katims Jefferson J | Method and apparatus for transcutaneous electrical stimulation |
US4305402A (en) * | 1979-06-29 | 1981-12-15 | Katims Jefferson J | Method for transcutaneous electrical stimulation |
US5755230A (en) * | 1995-09-18 | 1998-05-26 | Cleveland Medical Devices Inc. | Wireless EEG system for effective auditory evoked response |
US5792067A (en) * | 1995-11-21 | 1998-08-11 | Karell; Manuel L. | Apparatus and method for mitigating sleep and other disorders through electromuscular stimulation |
US6622036B1 (en) * | 2000-02-09 | 2003-09-16 | Cns Response | Method for classifying and treating physiologic brain imbalances using quantitative EEG |
EP2159723A1 (en) * | 2001-07-11 | 2010-03-03 | CNS Response, Inc. | Method for remote diagnosis and treatment using electroencephalografy |
US6928324B2 (en) * | 2002-02-14 | 2005-08-09 | Pacesetter, Inc. | Stimulation device for sleep apnea prevention, detection and treatment |
US7299088B1 (en) * | 2002-06-02 | 2007-11-20 | Nitish V Thakor | Apparatus and methods for brain rhythm analysis |
US6881192B1 (en) * | 2002-06-12 | 2005-04-19 | Pacesetter, Inc. | Measurement of sleep apnea duration and evaluation of response therapies using duration metrics |
US7460903B2 (en) * | 2002-07-25 | 2008-12-02 | Pineda Jaime A | Method and system for a real time adaptive system for effecting changes in cognitive-emotive profiles |
US6837465B2 (en) * | 2003-01-03 | 2005-01-04 | Orbital Research Inc | Flow control device and method of controlling flow |
BRPI0410296A (en) * | 2003-05-06 | 2006-05-16 | Aspect Medical Systems Inc | system and method for determining the efficacy of treatment of neurological disorders using electroencephalogram |
US6993380B1 (en) * | 2003-06-04 | 2006-01-31 | Cleveland Medical Devices, Inc. | Quantitative sleep analysis method and system |
US7190995B2 (en) * | 2003-06-13 | 2007-03-13 | The Regents Of The University Of Michigan | System and method for analysis of respiratory cycle-related EEG changes in sleep-disordered breathing |
US20050096311A1 (en) * | 2003-10-30 | 2005-05-05 | Cns Response | Compositions and methods for treatment of nervous system disorders |
US7041049B1 (en) * | 2003-11-21 | 2006-05-09 | First Principles, Inc. | Sleep guidance system and related methods |
US7860561B1 (en) * | 2004-06-04 | 2010-12-28 | Cleveland Medical Devices Inc. | Method of quantifying a subject's wake or sleep state and system for measuring |
US7593767B1 (en) * | 2006-06-15 | 2009-09-22 | Cleveland Medical Devices Inc | Ambulatory sleepiness and apnea propensity evaluation system |
-
2003
- 2003-06-04 US US10/454,156 patent/US6993380B1/en not_active Expired - Fee Related
-
2004
- 2004-12-22 US US11/021,594 patent/US7865234B1/en not_active Expired - Fee Related
-
2010
- 2010-11-30 US US12/957,098 patent/US8335561B1/en not_active Expired - Fee Related
-
2012
- 2012-11-15 US US13/677,469 patent/US8712513B1/en not_active Expired - Fee Related
Patent Citations (23)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US5899922A (en) | 1993-05-28 | 1999-05-04 | Loos; Hendricus G. | Manipulation of nervous systems by electric fields |
US5520176A (en) * | 1993-06-23 | 1996-05-28 | Aequitron Medical, Inc. | Iterative sleep evaluation |
US5595488A (en) | 1994-08-04 | 1997-01-21 | Vigilant Ltd. | Apparatus and method for monitoring and improving the alertness of a subject |
US5884626A (en) | 1994-09-02 | 1999-03-23 | Toyota Jidosha Kabushiki Kaisha | Apparatus and method for analyzing information relating to physical and mental condition |
US5689241A (en) | 1995-04-24 | 1997-11-18 | Clarke, Sr.; James Russell | Sleep detection and driver alert apparatus |
US5740812A (en) | 1996-01-25 | 1998-04-21 | Mindwaves, Ltd. | Apparatus for and method of providing brainwave biofeedback |
US6292688B1 (en) | 1996-02-28 | 2001-09-18 | Advanced Neurotechnologies, Inc. | Method and apparatus for analyzing neurological response to emotion-inducing stimuli |
US5626145A (en) | 1996-03-20 | 1997-05-06 | Lockheed Martin Energy Systems, Inc. | Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection |
US5813993A (en) * | 1996-04-05 | 1998-09-29 | Consolidated Research Of Richmond, Inc. | Alertness and drowsiness detection and tracking system |
US6353396B1 (en) | 1996-07-14 | 2002-03-05 | Atlas Researches Ltd. | Method and apparatus for monitoring states of consciousness, drowsiness, distress, and performance |
US6272378B1 (en) | 1996-11-21 | 2001-08-07 | 2Rcw Gmbh | Device and method for determining sleep profiles |
US6313749B1 (en) | 1997-01-04 | 2001-11-06 | James Anthony Horne | Sleepiness detection for vehicle driver or machine operator |
US6070098A (en) | 1997-01-11 | 2000-05-30 | Circadian Technologies, Inc. | Method of and apparatus for evaluation and mitigation of microsleep events |
US6059725A (en) | 1997-08-05 | 2000-05-09 | American Sudden Infant Death Syndrome Institute | Prolonged apnea risk evaluation |
US6154123A (en) | 1997-09-05 | 2000-11-28 | Breed Automotive Technology, Inc. | Driver alertness monitoring system |
US6167298A (en) * | 1998-01-08 | 2000-12-26 | Levin; Richard B. | Devices and methods for maintaining an alert state of consciousness through brain wave monitoring |
US6293904B1 (en) | 1998-02-26 | 2001-09-25 | Eastman Kodak Company | Management of physiological and psychological state of an individual using images personal image profiler |
US6241686B1 (en) | 1998-10-30 | 2001-06-05 | The United States Of America As Represented By The Secretary Of The Army | System and method for predicting human cognitive performance using data from an actigraph |
US6496724B1 (en) * | 1998-12-31 | 2002-12-17 | Advanced Brain Monitoring, Inc. | Method for the quantification of human alertness |
US6625485B2 (en) * | 1998-12-31 | 2003-09-23 | Advanced Brain Monitoring, Inc. | Method for the quantification of human alertness |
US6204245B1 (en) | 1999-09-17 | 2001-03-20 | The Regents Of The University Of California | Treatment of narcolepsy with immunosuppressants |
US6434419B1 (en) * | 2000-06-26 | 2002-08-13 | Sam Technology, Inc. | Neurocognitive ability EEG measurement method and system |
US20030013981A1 (en) * | 2000-06-26 | 2003-01-16 | Alan Gevins | Neurocognitive function EEG measurement method and system |
Non-Patent Citations (1)
Title |
---|
Makeig. Scott and Inlow, Mark, Lapses in Alertness: Coherance of Fluctuations in performance and EEG Spectrum. Electroencphalography and Clinical Neurophysiology, 1993 vol 86 pp 23-25 . |
Cited By (274)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
USRE48286E1 (en) | 2001-03-12 | 2020-10-27 | Intercept Pharmaceuticals, Inc. | Steroids as agonists for FXR |
US8712513B1 (en) * | 2003-06-04 | 2014-04-29 | Cleveland Medical Devices Inc. | Quantitative sleep analysis system and method |
US7865234B1 (en) * | 2003-06-04 | 2011-01-04 | Cleveland Medical Devices Inc. | Quantitative method for the therapeutic treatment of sleep disorders |
US8335561B1 (en) * | 2003-06-04 | 2012-12-18 | Cleveland Medical Devices Inc. | Quantitative method for assessment of excessive daytime sleepiness |
US20040254493A1 (en) * | 2003-06-13 | 2004-12-16 | The Regents Of The University Of Michigan | System and method for analysis of respiratory cycle-related EEG changes in sleep-disordered breathing |
US7190995B2 (en) * | 2003-06-13 | 2007-03-13 | The Regents Of The University Of Michigan | System and method for analysis of respiratory cycle-related EEG changes in sleep-disordered breathing |
US20090156925A1 (en) * | 2004-01-08 | 2009-06-18 | Kyung-Soo Jin | Active dry sensor module for measurement of bioelectricity |
US20090112077A1 (en) * | 2004-01-08 | 2009-04-30 | Neurosky, Inc. | Contoured electrode |
US8290563B2 (en) | 2004-01-08 | 2012-10-16 | Neurosky, Inc. | Active dry sensor module for measurement of bioelectricity |
US8301218B2 (en) | 2004-01-08 | 2012-10-30 | Neurosky, Inc. | Contoured electrode |
US20050177058A1 (en) * | 2004-02-11 | 2005-08-11 | Nina Sobell | System and method for analyzing the brain wave patterns of one or more persons for determining similarities in response to a common set of stimuli, making artistic expressions and diagnosis |
US20070249952A1 (en) * | 2004-02-27 | 2007-10-25 | Benjamin Rubin | Systems and methods for sleep monitoring |
US11096591B2 (en) | 2004-03-16 | 2021-08-24 | Medtronic, Inc. | Determination of sleep quality for neurological disorders |
US10300283B2 (en) | 2004-03-16 | 2019-05-28 | Medtronic, Inc. | Determination of sleep quality for neurological disorders |
US20070208269A1 (en) * | 2004-05-18 | 2007-09-06 | Mumford John R | Mask assembly, system and method for determining the occurrence of respiratory events using frontal electrode array |
US20050268916A1 (en) * | 2004-05-18 | 2005-12-08 | Mumford John R | Mask assembly with integrated sensors |
US7575005B2 (en) | 2004-05-18 | 2009-08-18 | Excel-Tech Ltd. | Mask assembly with integrated sensors |
US20060258930A1 (en) * | 2004-05-18 | 2006-11-16 | Jianping Wu | Device for use in sleep stage determination using frontal electrodes |
US20060019224A1 (en) * | 2004-07-23 | 2006-01-26 | Pics, Inc. | Insomnia assessment and treatment device and method |
US9504415B1 (en) * | 2004-12-22 | 2016-11-29 | Neurowave Systems Inc | Neuro-behavioral test method for screening and evaluating therapy for ADHD and system |
US8473043B1 (en) * | 2004-12-22 | 2013-06-25 | Neuro Wave Systems Inc. | Neuro-behavioral test method for screening and evaluating therapy for ADHD and system |
US10251595B2 (en) | 2006-03-24 | 2019-04-09 | Medtronic, Inc. | Collecting gait information for evaluation and control of therapy |
US7593767B1 (en) * | 2006-06-15 | 2009-09-22 | Cleveland Medical Devices Inc | Ambulatory sleepiness and apnea propensity evaluation system |
US11439345B2 (en) | 2006-09-22 | 2022-09-13 | Sleep Number Corporation | Method and apparatus for monitoring vital signs remotely |
US20080127978A1 (en) * | 2006-12-05 | 2008-06-05 | Benjamin Rubin | Pressure support system with dry electrode sleep staging device |
US8244340B2 (en) | 2006-12-22 | 2012-08-14 | Natus Medical Incorporated | Method, system and device for sleep stage determination using frontal electrodes |
US20080154111A1 (en) * | 2006-12-22 | 2008-06-26 | Jianping Wu | Method, system and device for sleep stage determination using frontal electrodes |
US20080177197A1 (en) * | 2007-01-22 | 2008-07-24 | Lee Koohyoung | Method and apparatus for quantitatively evaluating mental states based on brain wave signal processing system |
US20110068861A1 (en) * | 2007-01-31 | 2011-03-24 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier |
US8265769B2 (en) | 2007-01-31 | 2012-09-11 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for wireless telemetry |
US9615744B2 (en) | 2007-01-31 | 2017-04-11 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for impedance measurement |
US8354881B2 (en) | 2007-01-31 | 2013-01-15 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier |
US9197173B2 (en) | 2007-01-31 | 2015-11-24 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for impedance measurement |
US20080180278A1 (en) * | 2007-01-31 | 2008-07-31 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for wireless telemetry |
US20100327887A1 (en) * | 2007-01-31 | 2010-12-30 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for impedance measurement |
US20100033240A1 (en) * | 2007-01-31 | 2010-02-11 | Medtronic, Inc. | Chopper-stabilized instrumentation amplifier for impedance measurement |
US20150320359A1 (en) * | 2007-02-16 | 2015-11-12 | Cim Technology Inc. | Wearable mini-size intelligent healthcare system |
US8249896B1 (en) * | 2007-02-26 | 2012-08-21 | Mk3Sd, Ltd. | Method or secure diagnostic screening, servicing, treatment, and compliance monitoring for sleep apnea for oil and gas offshore workers, construction workers and heavy equipment workers |
GB2447640B (en) * | 2007-03-14 | 2012-03-14 | Axon Sleep Res Lab Inc | Systems and methods for sleep monitoring |
GB2447640A (en) * | 2007-03-14 | 2008-09-24 | Axon Sleep Res Lab Inc | Sleep stage monitoring with dry electrodes, and alarm method |
US11250465B2 (en) | 2007-03-29 | 2022-02-15 | Nielsen Consumer Llc | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous sytem, and effector data |
US8473345B2 (en) | 2007-03-29 | 2013-06-25 | The Nielsen Company (Us), Llc | Protocol generator and presenter device for analysis of marketing and entertainment effectiveness |
US10679241B2 (en) | 2007-03-29 | 2020-06-09 | The Nielsen Company (Us), Llc | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous system, and effector data |
US11790393B2 (en) | 2007-03-29 | 2023-10-17 | Nielsen Consumer Llc | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous system, and effector data |
US8484081B2 (en) | 2007-03-29 | 2013-07-09 | The Nielsen Company (Us), Llc | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous system, and effector data |
US20090024447A1 (en) * | 2007-03-29 | 2009-01-22 | Neurofocus, Inc. | Analysis of marketing and entertainment effectiveness using central nervous system, autonomic nervous sytem, and effector data |
US9449501B2 (en) | 2007-04-30 | 2016-09-20 | Medtronics, Inc. | Chopper mixer telemetry circuit |
US20080269841A1 (en) * | 2007-04-30 | 2008-10-30 | Medtronic, Inc. | Chopper mixer telemetry circuit |
US8781595B2 (en) | 2007-04-30 | 2014-07-15 | Medtronic, Inc. | Chopper mixer telemetry circuit |
US8386312B2 (en) | 2007-05-01 | 2013-02-26 | The Nielsen Company (Us), Llc | Neuro-informatics repository system |
US20090024475A1 (en) * | 2007-05-01 | 2009-01-22 | Neurofocus Inc. | Neuro-feedback based stimulus compression device |
US9886981B2 (en) | 2007-05-01 | 2018-02-06 | The Nielsen Company (Us), Llc | Neuro-feedback based stimulus compression device |
US20090030930A1 (en) * | 2007-05-01 | 2009-01-29 | Neurofocus Inc. | Neuro-informatics repository system |
US11049134B2 (en) | 2007-05-16 | 2021-06-29 | Nielsen Consumer Llc | Neuro-physiology and neuro-behavioral based stimulus targeting system |
US20090328089A1 (en) * | 2007-05-16 | 2009-12-31 | Neurofocus Inc. | Audience response measurement and tracking system |
US20090327068A1 (en) * | 2007-05-16 | 2009-12-31 | Neurofocus Inc. | Neuro-physiology and neuro-behavioral based stimulus targeting system |
US20090024449A1 (en) * | 2007-05-16 | 2009-01-22 | Neurofocus Inc. | Habituation analyzer device utilizing central nervous system, autonomic nervous system and effector system measurements |
US10580031B2 (en) | 2007-05-16 | 2020-03-03 | The Nielsen Company (Us), Llc | Neuro-physiology and neuro-behavioral based stimulus targeting system |
US8392253B2 (en) | 2007-05-16 | 2013-03-05 | The Nielsen Company (Us), Llc | Neuro-physiology and neuro-behavioral based stimulus targeting system |
US20090030303A1 (en) * | 2007-06-06 | 2009-01-29 | Neurofocus Inc. | Audience response analysis using simultaneous electroencephalography (eeg) and functional magnetic resonance imaging (fmri) |
US8494905B2 (en) | 2007-06-06 | 2013-07-23 | The Nielsen Company (Us), Llc | Audience response analysis using simultaneous electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) |
US20090030287A1 (en) * | 2007-06-06 | 2009-01-29 | Neurofocus Inc. | Incented response assessment at a point of transaction |
US11908567B1 (en) | 2007-06-08 | 2024-02-20 | Cleveland Medical Devices Inc. | Sleep diagnostic system for the testing of multiple subjects being tested at remote locations |
US11883189B1 (en) | 2007-06-08 | 2024-01-30 | Cleveland Medical Devices Inc. | Method and device for in-home sleep and signal analysis |
US20090036755A1 (en) * | 2007-07-30 | 2009-02-05 | Neurofocus, Inc. | Entity and relationship assessment and extraction using neuro-response measurements |
US11244345B2 (en) | 2007-07-30 | 2022-02-08 | Nielsen Consumer Llc | Neuro-response stimulus and stimulus attribute resonance estimator |
US11763340B2 (en) | 2007-07-30 | 2023-09-19 | Nielsen Consumer Llc | Neuro-response stimulus and stimulus attribute resonance estimator |
US10733625B2 (en) | 2007-07-30 | 2020-08-04 | The Nielsen Company (Us), Llc | Neuro-response stimulus and stimulus attribute resonance estimator |
US8533042B2 (en) | 2007-07-30 | 2013-09-10 | The Nielsen Company (Us), Llc | Neuro-response stimulus and stimulus attribute resonance estimator |
US20090036756A1 (en) * | 2007-07-30 | 2009-02-05 | Neurofocus, Inc. | Neuro-response stimulus and stimulus attribute resonance estimator |
US20090043586A1 (en) * | 2007-08-08 | 2009-02-12 | Macauslan Joel | Detecting a Physiological State Based on Speech |
US10937051B2 (en) | 2007-08-28 | 2021-03-02 | The Nielsen Company (Us), Llc | Stimulus placement system using subject neuro-response measurements |
US20090062629A1 (en) * | 2007-08-28 | 2009-03-05 | Neurofocus, Inc. | Stimulus placement system using subject neuro-response measurements |
US8386313B2 (en) | 2007-08-28 | 2013-02-26 | The Nielsen Company (Us), Llc | Stimulus placement system using subject neuro-response measurements |
US8635105B2 (en) | 2007-08-28 | 2014-01-21 | The Nielsen Company (Us), Llc | Consumer experience portrayal effectiveness assessment system |
US20090063256A1 (en) * | 2007-08-28 | 2009-03-05 | Neurofocus, Inc. | Consumer experience portrayal effectiveness assessment system |
US10127572B2 (en) | 2007-08-28 | 2018-11-13 | The Nielsen Company, (US), LLC | Stimulus placement system using subject neuro-response measurements |
US20090063255A1 (en) * | 2007-08-28 | 2009-03-05 | Neurofocus, Inc. | Consumer experience assessment system |
US11488198B2 (en) | 2007-08-28 | 2022-11-01 | Nielsen Consumer Llc | Stimulus placement system using subject neuro-response measurements |
US8392254B2 (en) | 2007-08-28 | 2013-03-05 | The Nielsen Company (Us), Llc | Consumer experience assessment system |
US20090062681A1 (en) * | 2007-08-29 | 2009-03-05 | Neurofocus, Inc. | Content based selection and meta tagging of advertisement breaks |
US11023920B2 (en) | 2007-08-29 | 2021-06-01 | Nielsen Consumer Llc | Content based selection and meta tagging of advertisement breaks |
US11610223B2 (en) | 2007-08-29 | 2023-03-21 | Nielsen Consumer Llc | Content based selection and meta tagging of advertisement breaks |
US8392255B2 (en) | 2007-08-29 | 2013-03-05 | The Nielsen Company (Us), Llc | Content based selection and meta tagging of advertisement breaks |
US10140628B2 (en) | 2007-08-29 | 2018-11-27 | The Nielsen Company, (US), LLC | Content based selection and meta tagging of advertisement breaks |
US10963895B2 (en) | 2007-09-20 | 2021-03-30 | Nielsen Consumer Llc | Personalized content delivery using neuro-response priming data |
US20090082643A1 (en) * | 2007-09-20 | 2009-03-26 | Neurofocus, Inc. | Analysis of marketing and entertainment effectiveness using magnetoencephalography |
US8494610B2 (en) | 2007-09-20 | 2013-07-23 | The Nielsen Company (Us), Llc | Analysis of marketing and entertainment effectiveness using magnetoencephalography |
US20090082829A1 (en) * | 2007-09-26 | 2009-03-26 | Medtronic, Inc. | Patient directed therapy control |
US8290596B2 (en) | 2007-09-26 | 2012-10-16 | Medtronic, Inc. | Therapy program selection based on patient state |
US20090082691A1 (en) * | 2007-09-26 | 2009-03-26 | Medtronic, Inc. | Frequency selective monitoring of physiological signals |
US20090105785A1 (en) * | 2007-09-26 | 2009-04-23 | Medtronic, Inc. | Therapy program selection |
US8380314B2 (en) | 2007-09-26 | 2013-02-19 | Medtronic, Inc. | Patient directed therapy control |
US10258798B2 (en) | 2007-09-26 | 2019-04-16 | Medtronic, Inc. | Patient directed therapy control |
US9248288B2 (en) | 2007-09-26 | 2016-02-02 | Medtronic, Inc. | Patient directed therapy control |
US8554325B2 (en) | 2007-10-16 | 2013-10-08 | Medtronic, Inc. | Therapy control based on a patient movement state |
US8870813B2 (en) | 2007-12-18 | 2014-10-28 | The Invention Science Fund I, Llc | Circulatory monitoring systems and methods |
US20090157171A1 (en) * | 2007-12-18 | 2009-06-18 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Treatment indications informed by a priori implant information |
US20090157056A1 (en) * | 2007-12-18 | 2009-06-18 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US8403881B2 (en) | 2007-12-18 | 2013-03-26 | The Invention Science Fund I, Llc | Circulatory monitoring systems and methods |
US8409132B2 (en) | 2007-12-18 | 2013-04-02 | The Invention Science Fund I, Llc | Treatment indications informed by a priori implant information |
US20090157058A1 (en) * | 2007-12-18 | 2009-06-18 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090287191A1 (en) * | 2007-12-18 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090287120A1 (en) * | 2007-12-18 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090157057A1 (en) * | 2007-12-18 | 2009-06-18 | Searete LLC, a liability corporation of the State of Delaware | Circulatory monitoring systems and methods |
US8317776B2 (en) | 2007-12-18 | 2012-11-27 | The Invention Science Fund I, Llc | Circulatory monitoring systems and methods |
US9717896B2 (en) | 2007-12-18 | 2017-08-01 | Gearbox, Llc | Treatment indications informed by a priori implant information |
US20090156988A1 (en) * | 2007-12-18 | 2009-06-18 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US10165977B2 (en) | 2008-01-25 | 2019-01-01 | Medtronic, Inc. | Sleep stage detection |
US9706957B2 (en) | 2008-01-25 | 2017-07-18 | Medtronic, Inc. | Sleep stage detection |
US20090192556A1 (en) * | 2008-01-25 | 2009-07-30 | Medtronic, Inc. | Sleep stage detection |
US9072870B2 (en) | 2008-01-25 | 2015-07-07 | Medtronic, Inc. | Sleep stage detection |
US20090234198A1 (en) * | 2008-03-13 | 2009-09-17 | Kimberly Vorse | Healthcare knowledgebase |
US20090281408A1 (en) * | 2008-05-06 | 2009-11-12 | Neurosky, Inc. | Dry Electrode Device and Method of Assembly |
US8170637B2 (en) | 2008-05-06 | 2012-05-01 | Neurosky, Inc. | Dry electrode device and method of assembly |
US8636670B2 (en) | 2008-05-13 | 2014-01-28 | The Invention Science Fund I, Llc | Circulatory monitoring systems and methods |
US20090287101A1 (en) * | 2008-05-13 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090287109A1 (en) * | 2008-05-14 | 2009-11-19 | Searete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090287094A1 (en) * | 2008-05-15 | 2009-11-19 | Seacrete Llc, A Limited Liability Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20090292212A1 (en) * | 2008-05-20 | 2009-11-26 | Searete Llc, A Limited Corporation Of The State Of Delaware | Circulatory monitoring systems and methods |
US20100099954A1 (en) * | 2008-10-22 | 2010-04-22 | Zeo, Inc. | Data-driven sleep coaching system |
US20210082305A1 (en) * | 2008-10-22 | 2021-03-18 | Resmed Sensor Technologies Limited | Data-driven sleep coaching system |
US20100114223A1 (en) * | 2008-10-31 | 2010-05-06 | Wahlstrand John D | Determining intercardiac impedance |
US8478402B2 (en) | 2008-10-31 | 2013-07-02 | Medtronic, Inc. | Determining intercardiac impedance |
US11696724B2 (en) * | 2008-11-14 | 2023-07-11 | Neurovigil, Inc. | Methods of identifying sleep and waking patterns and uses |
US20110218454A1 (en) * | 2008-11-14 | 2011-09-08 | Philip Low | Methods of Identifying Sleep & Waking Patterns and Uses |
WO2010057119A3 (en) * | 2008-11-14 | 2011-11-24 | Neurovigil, Inc. | Methods of identifying sleep and waking patterns and uses |
JP2015177986A (en) * | 2008-11-14 | 2015-10-08 | ニューロヴィジル,インク. | Methods of identifying sleep and waking patterns and uses thereof |
US8977110B2 (en) | 2009-01-21 | 2015-03-10 | The Nielsen Company (Us), Llc | Methods and apparatus for providing video with embedded media |
US20100186032A1 (en) * | 2009-01-21 | 2010-07-22 | Neurofocus, Inc. | Methods and apparatus for providing alternate media for video decoders |
US9357240B2 (en) | 2009-01-21 | 2016-05-31 | The Nielsen Company (Us), Llc | Methods and apparatus for providing alternate media for video decoders |
US8270814B2 (en) | 2009-01-21 | 2012-09-18 | The Nielsen Company (Us), Llc | Methods and apparatus for providing video with embedded media |
US9826284B2 (en) | 2009-01-21 | 2017-11-21 | The Nielsen Company (Us), Llc | Methods and apparatus for providing alternate media for video decoders |
US8464288B2 (en) | 2009-01-21 | 2013-06-11 | The Nielsen Company (Us), Llc | Methods and apparatus for providing personalized media in video |
US8955010B2 (en) | 2009-01-21 | 2015-02-10 | The Nielsen Company (Us), Llc | Methods and apparatus for providing personalized media in video |
US11704681B2 (en) | 2009-03-24 | 2023-07-18 | Nielsen Consumer Llc | Neurological profiles for market matching and stimulus presentation |
US20110046504A1 (en) * | 2009-08-20 | 2011-02-24 | Neurofocus, Inc. | Distributed neuro-response data collection and analysis |
US20110046473A1 (en) * | 2009-08-20 | 2011-02-24 | Neurofocus, Inc. | Eeg triggered fmri signal acquisition |
US20110047121A1 (en) * | 2009-08-21 | 2011-02-24 | Neurofocus, Inc. | Analysis of the mirror neuron system for evaluation of stimulus |
US8655437B2 (en) | 2009-08-21 | 2014-02-18 | The Nielsen Company (Us), Llc | Analysis of the mirror neuron system for evaluation of stimulus |
US10987015B2 (en) | 2009-08-24 | 2021-04-27 | Nielsen Consumer Llc | Dry electrodes for electroencephalography |
US20110046503A1 (en) * | 2009-08-24 | 2011-02-24 | Neurofocus, Inc. | Dry electrodes for electroencephalography |
US8823527B2 (en) * | 2009-09-03 | 2014-09-02 | Koninklijke Philips N.V. | Consciousness monitoring |
US20120161969A1 (en) * | 2009-09-03 | 2012-06-28 | Koninklijke Philips Electronics N.V. | Consciousness monitoring |
CN102481121A (en) * | 2009-09-03 | 2012-05-30 | 皇家飞利浦电子股份有限公司 | Consciousness monitoring |
CN102481121B (en) * | 2009-09-03 | 2015-04-22 | 皇家飞利浦电子股份有限公司 | Consciousness monitoring |
US20110078762A1 (en) * | 2009-09-29 | 2011-03-31 | Ebay, Inc. | Mobile or user device authentication and tracking |
US10068248B2 (en) | 2009-10-29 | 2018-09-04 | The Nielsen Company (Us), Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US20110105937A1 (en) * | 2009-10-29 | 2011-05-05 | Neurofocus, Inc. | Analysis of controlled and automatic attention for introduction of stimulus material |
US20110106621A1 (en) * | 2009-10-29 | 2011-05-05 | Neurofocus, Inc. | Intracluster content management using neuro-response priming data |
US10269036B2 (en) | 2009-10-29 | 2019-04-23 | The Nielsen Company (Us), Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US11170400B2 (en) | 2009-10-29 | 2021-11-09 | Nielsen Consumer Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US8209224B2 (en) | 2009-10-29 | 2012-06-26 | The Nielsen Company (Us), Llc | Intracluster content management using neuro-response priming data |
US11481788B2 (en) | 2009-10-29 | 2022-10-25 | Nielsen Consumer Llc | Generating ratings predictions using neuro-response data |
US11669858B2 (en) | 2009-10-29 | 2023-06-06 | Nielsen Consumer Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US9560984B2 (en) | 2009-10-29 | 2017-02-07 | The Nielsen Company (Us), Llc | Analysis of controlled and automatic attention for introduction of stimulus material |
US8762202B2 (en) | 2009-10-29 | 2014-06-24 | The Nielson Company (Us), Llc | Intracluster content management using neuro-response priming data |
US9770204B2 (en) | 2009-11-11 | 2017-09-26 | Medtronic, Inc. | Deep brain stimulation for sleep and movement disorders |
US20110119129A1 (en) * | 2009-11-19 | 2011-05-19 | Neurofocus, Inc. | Advertisement exchange using neuro-response data |
US8335715B2 (en) | 2009-11-19 | 2012-12-18 | The Nielsen Company (Us), Llc. | Advertisement exchange using neuro-response data |
US20110119124A1 (en) * | 2009-11-19 | 2011-05-19 | Neurofocus, Inc. | Multimedia advertisement exchange |
US8335716B2 (en) | 2009-11-19 | 2012-12-18 | The Nielsen Company (Us), Llc. | Multimedia advertisement exchange |
US20110190594A1 (en) * | 2010-02-04 | 2011-08-04 | Robert Bosch Gmbh | Device and method to monitor, assess and improve quality of sleep |
US8348840B2 (en) | 2010-02-04 | 2013-01-08 | Robert Bosch Gmbh | Device and method to monitor, assess and improve quality of sleep |
US20110237971A1 (en) * | 2010-03-25 | 2011-09-29 | Neurofocus, Inc. | Discrete choice modeling using neuro-response data |
US11200964B2 (en) | 2010-04-19 | 2021-12-14 | Nielsen Consumer Llc | Short imagery task (SIT) research method |
US9454646B2 (en) | 2010-04-19 | 2016-09-27 | The Nielsen Company (Us), Llc | Short imagery task (SIT) research method |
US10248195B2 (en) | 2010-04-19 | 2019-04-02 | The Nielsen Company (Us), Llc. | Short imagery task (SIT) research method |
US9336535B2 (en) | 2010-05-12 | 2016-05-10 | The Nielsen Company (Us), Llc | Neuro-response data synchronization |
US8655428B2 (en) | 2010-05-12 | 2014-02-18 | The Nielsen Company (Us), Llc | Neuro-response data synchronization |
WO2011151202A1 (en) * | 2010-06-03 | 2011-12-08 | Cordial Medical Europe B.V. | Improved measurement of auditory evoked responses |
US8392250B2 (en) | 2010-08-09 | 2013-03-05 | The Nielsen Company (Us), Llc | Neuro-response evaluated stimulus in virtual reality environments |
US8392251B2 (en) | 2010-08-09 | 2013-03-05 | The Nielsen Company (Us), Llc | Location aware presentation of stimulus material |
US8396744B2 (en) | 2010-08-25 | 2013-03-12 | The Nielsen Company (Us), Llc | Effective virtual reality environments for presentation of marketing materials |
US8548852B2 (en) | 2010-08-25 | 2013-10-01 | The Nielsen Company (Us), Llc | Effective virtual reality environments for presentation of marketing materials |
US9211411B2 (en) | 2010-08-26 | 2015-12-15 | Medtronic, Inc. | Therapy for rapid eye movement behavior disorder (RBD) |
US10531811B2 (en) | 2010-09-28 | 2020-01-14 | Masimo Corporation | Depth of consciousness monitor including oximeter |
US11717210B2 (en) | 2010-09-28 | 2023-08-08 | Masimo Corporation | Depth of consciousness monitor including oximeter |
US9775545B2 (en) | 2010-09-28 | 2017-10-03 | Masimo Corporation | Magnetic electrical connector for patient monitors |
US8821397B2 (en) | 2010-09-28 | 2014-09-02 | Masimo Corporation | Depth of consciousness monitor including oximeter |
US9538949B2 (en) | 2010-09-28 | 2017-01-10 | Masimo Corporation | Depth of consciousness monitor including oximeter |
US20140031712A1 (en) * | 2011-04-05 | 2014-01-30 | Neurokeeper Technologies Ltd. | System and method for detecting neurological deterioration |
US9820663B2 (en) | 2012-01-24 | 2017-11-21 | Neurovigil, Inc. | Correlating brain signal to intentional and unintentional changes in brain state |
US9364163B2 (en) | 2012-01-24 | 2016-06-14 | Neurovigil, Inc. | Correlating brain signal to intentional and unintentional changes in brain state |
US9569986B2 (en) | 2012-02-27 | 2017-02-14 | The Nielsen Company (Us), Llc | System and method for gathering and analyzing biometric user feedback for use in social media and advertising applications |
US9451303B2 (en) | 2012-02-27 | 2016-09-20 | The Nielsen Company (Us), Llc | Method and system for gathering and computing an audience's neurologically-based reactions in a distributed framework involving remote storage and computing |
US9292858B2 (en) | 2012-02-27 | 2016-03-22 | The Nielsen Company (Us), Llc | Data collection system for aggregating biologically based measures in asynchronous geographically distributed public environments |
US10881348B2 (en) | 2012-02-27 | 2021-01-05 | The Nielsen Company (Us), Llc | System and method for gathering and analyzing biometric user feedback for use in social media and advertising applications |
US10779745B2 (en) | 2012-08-17 | 2020-09-22 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US8989835B2 (en) | 2012-08-17 | 2015-03-24 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US9060671B2 (en) | 2012-08-17 | 2015-06-23 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US10842403B2 (en) | 2012-08-17 | 2020-11-24 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US9907482B2 (en) | 2012-08-17 | 2018-03-06 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US9215978B2 (en) | 2012-08-17 | 2015-12-22 | The Nielsen Company (Us), Llc | Systems and methods to gather and analyze electroencephalographic data |
US11344225B2 (en) * | 2013-01-24 | 2022-05-31 | B. G. Negev Technologies And Applications Ltd. | Determining apnea-hypopnia index AHI from speech |
US20150351663A1 (en) * | 2013-01-24 | 2015-12-10 | B.G. Negev Technologies And Applications Ltd. | Determining apnea-hypopnia index ahi from speech |
US10182661B2 (en) | 2013-03-14 | 2019-01-22 | Sleep Number Corporation and Select Comfort Retail Corporation | Inflatable air mattress alert and monitoring system |
US9392879B2 (en) | 2013-03-14 | 2016-07-19 | Select Comfort Corporation | Inflatable air mattress system architecture |
US10441086B2 (en) | 2013-03-14 | 2019-10-15 | Sleep Number Corporation | Inflatable air mattress system with detection techniques |
US10251490B2 (en) | 2013-03-14 | 2019-04-09 | Sleep Number Corporation | Inflatable air mattress autofill and off bed pressure adjustment |
US10492969B2 (en) | 2013-03-14 | 2019-12-03 | Sleep Number Corporation | Partner snore feature for adjustable bed foundation |
US11712384B2 (en) | 2013-03-14 | 2023-08-01 | Sleep Number Corporation | Partner snore feature for adjustable bed foundation |
US10201234B2 (en) | 2013-03-14 | 2019-02-12 | Sleep Number Corporation | Inflatable air mattress system architecture |
US9668694B2 (en) | 2013-03-14 | 2017-06-06 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9635953B2 (en) | 2013-03-14 | 2017-05-02 | Sleepiq Labs Inc. | Inflatable air mattress autofill and off bed pressure adjustment |
US10632032B1 (en) | 2013-03-14 | 2020-04-28 | Sleep Number Corporation | Partner snore feature for adjustable bed foundation |
US10646050B2 (en) | 2013-03-14 | 2020-05-12 | Sleep Number Corporation et al. | Inflatable air mattress alert and monitoring system |
US11497321B2 (en) | 2013-03-14 | 2022-11-15 | Sleep Number Corporation | Inflatable air mattress system architecture |
US11096849B2 (en) | 2013-03-14 | 2021-08-24 | Sleep Number Corporation | Partner snore feature for adjustable bed foundation |
US9320450B2 (en) | 2013-03-14 | 2016-04-26 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US11076807B2 (en) | 2013-03-14 | 2021-08-03 | Nielsen Consumer Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9370457B2 (en) | 2013-03-14 | 2016-06-21 | Select Comfort Corporation | Inflatable air mattress snoring detection and response |
US11122909B2 (en) | 2013-03-14 | 2021-09-21 | Sleep Number Corporation | Inflatable air mattress system with detection techniques |
US10980351B2 (en) | 2013-03-14 | 2021-04-20 | Sleep Number Corporation et al. | Inflatable air mattress autofill and off bed pressure adjustment |
US9510688B2 (en) | 2013-03-14 | 2016-12-06 | Select Comfort Corporation | Inflatable air mattress system with detection techniques |
US11766136B2 (en) | 2013-03-14 | 2023-09-26 | Sleep Number Corporation | Inflatable air mattress alert and monitoring system |
US10881219B2 (en) | 2013-03-14 | 2021-01-05 | Sleep Number Corporation | Inflatable air mattress system architecture |
US9844275B2 (en) | 2013-03-14 | 2017-12-19 | Select Comfort Corporation | Inflatable air mattress with light and voice controls |
US11160683B2 (en) | 2013-03-14 | 2021-11-02 | Sleep Number Corporation | Inflatable air mattress snoring detection and response and related methods |
US10058467B2 (en) | 2013-03-14 | 2018-08-28 | Sleep Number Corporation | Partner snore feature for adjustable bed foundation |
US9521979B2 (en) | 2013-03-15 | 2016-12-20 | Medtronic, Inc. | Control of spectral agressors in a physiological signal monitoring device |
US9439150B2 (en) | 2013-03-15 | 2016-09-06 | Medtronic, Inc. | Control of spectral agressors in a physiological signal montoring device |
WO2014200433A1 (en) * | 2013-06-11 | 2014-12-18 | Agency For Science, Technology And Research | Sound-induced sleep method and a system therefor |
US9999743B2 (en) | 2013-06-11 | 2018-06-19 | Agency For Science, Technology And Research | Sound-induced sleep method and a system therefor |
US9504416B2 (en) | 2013-07-03 | 2016-11-29 | Sleepiq Labs Inc. | Smart seat monitoring system |
US9931085B2 (en) | 2013-07-18 | 2018-04-03 | Select Comfort Retail Corporation | Device and method of monitoring a position and predicting an exit of a subject on or from a substrate |
US9445751B2 (en) | 2013-07-18 | 2016-09-20 | Sleepiq Labs, Inc. | Device and method of monitoring a position and predicting an exit of a subject on or from a substrate |
US9770114B2 (en) | 2013-12-30 | 2017-09-26 | Select Comfort Corporation | Inflatable air mattress with integrated control |
US11744384B2 (en) | 2013-12-30 | 2023-09-05 | Sleep Number Corporation | Inflatable air mattress with integrated control |
US10674832B2 (en) | 2013-12-30 | 2020-06-09 | Sleep Number Corporation | Inflatable air mattress with integrated control |
US10504616B2 (en) | 2014-01-17 | 2019-12-10 | Nintendo Co., Ltd. | Display system and display device |
US10504617B2 (en) | 2014-01-17 | 2019-12-10 | Nintendo Co., Ltd. | Information processing system, information processing device, storage medium storing information processing program, and information processing method |
US11026612B2 (en) | 2014-01-17 | 2021-06-08 | Nintendo Co., Ltd. | Information processing system, information processing device, storage medium storing information processing program, and information processing method |
US10987042B2 (en) | 2014-01-17 | 2021-04-27 | Nintendo Co., Ltd. | Display system and display device |
US11571153B2 (en) | 2014-01-17 | 2023-02-07 | Nintendo Co., Ltd. | Information processing system, information processing device, storage medium storing information processing program, and information processing method |
US10847255B2 (en) | 2014-01-17 | 2020-11-24 | Nintendo Co., Ltd. | Information processing system, information processing server, storage medium storing information processing program, and information provision method |
US10777305B2 (en) | 2014-01-17 | 2020-09-15 | Nintendo Co., Ltd. | Information processing system, server system, information processing apparatus, and information processing method |
EP3096235A4 (en) * | 2014-01-17 | 2017-09-06 | Nintendo Co., Ltd. | Information processing system, information processing server, information processing program, and fatigue evaluation method |
US11141108B2 (en) | 2014-04-03 | 2021-10-12 | Nielsen Consumer Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9622703B2 (en) | 2014-04-03 | 2017-04-18 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9622702B2 (en) | 2014-04-03 | 2017-04-18 | The Nielsen Company (Us), Llc | Methods and apparatus to gather and analyze electroencephalographic data |
US9924904B2 (en) | 2014-09-02 | 2018-03-27 | Medtronic, Inc. | Power-efficient chopper amplifier |
US10765367B2 (en) | 2014-10-07 | 2020-09-08 | Masimo Corporation | Modular physiological sensors |
US11717218B2 (en) | 2014-10-07 | 2023-08-08 | Masimo Corporation | Modular physiological sensor |
US10154815B2 (en) | 2014-10-07 | 2018-12-18 | Masimo Corporation | Modular physiological sensors |
US11896139B2 (en) | 2014-10-10 | 2024-02-13 | Sleep Number Corporation | Bed system having controller for an air mattress |
US11206929B2 (en) | 2014-10-10 | 2021-12-28 | Sleep Number Corporation | Bed having logic controller |
US10448749B2 (en) | 2014-10-10 | 2019-10-22 | Sleep Number Corporation | Bed having logic controller |
CN107205652A (en) * | 2014-12-05 | 2017-09-26 | 新加坡科技研究局 | The sleep analysis system with automatic mapping is generated with feature |
US10092242B2 (en) | 2015-01-05 | 2018-10-09 | Sleep Number Corporation | Bed with user occupancy tracking |
US10716512B2 (en) | 2015-01-05 | 2020-07-21 | Sleep Number Corporation | Bed with user occupancy tracking |
US10771844B2 (en) | 2015-05-19 | 2020-09-08 | The Nielsen Company (Us), Llc | Methods and apparatus to adjust content presented to an individual |
US11290779B2 (en) | 2015-05-19 | 2022-03-29 | Nielsen Consumer Llc | Methods and apparatus to adjust content presented to an individual |
US9936250B2 (en) | 2015-05-19 | 2018-04-03 | The Nielsen Company (Us), Llc | Methods and apparatus to adjust content presented to an individual |
US10149549B2 (en) | 2015-08-06 | 2018-12-11 | Sleep Number Corporation | Diagnostics of bed and bedroom environment |
US10729255B2 (en) | 2015-08-06 | 2020-08-04 | Sleep Number Corporation | Diagnostics of bed and bedroom environment |
US11849853B2 (en) | 2015-08-06 | 2023-12-26 | Sleep Number Corporation | Diagnostics of bed and bedroom environment |
CN105748070A (en) * | 2016-04-26 | 2016-07-13 | 深圳市思立普科技有限公司 | Sleep intervention method for improving sleep quality |
WO2017185535A1 (en) * | 2016-04-26 | 2017-11-02 | 深圳市思立普科技有限公司 | Sleep intervention method for improving sleep quality |
WO2017185538A1 (en) * | 2016-04-26 | 2017-11-02 | 深圳市思立普科技有限公司 | Memory controlling method for improving sleep quality |
WO2017185539A1 (en) * | 2016-04-26 | 2017-11-02 | 深圳市思立普科技有限公司 | Physiological control method for improving sleep quality |
CN105999510A (en) * | 2016-04-26 | 2016-10-12 | 深圳市思立普科技有限公司 | Physiological control method capable of improving sleep quality |
CN105852853A (en) * | 2016-04-26 | 2016-08-17 | 深圳市思立普科技有限公司 | Memory control method for improving sleeping quality |
US11596795B2 (en) | 2017-07-31 | 2023-03-07 | Medtronic, Inc. | Therapeutic electrical stimulation therapy for patient gait freeze |
US11723579B2 (en) | 2017-09-19 | 2023-08-15 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement |
US11717686B2 (en) | 2017-12-04 | 2023-08-08 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to facilitate learning and performance |
US11737938B2 (en) | 2017-12-28 | 2023-08-29 | Sleep Number Corporation | Snore sensing bed |
US11273283B2 (en) | 2017-12-31 | 2022-03-15 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
US11318277B2 (en) | 2017-12-31 | 2022-05-03 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
US11478603B2 (en) | 2017-12-31 | 2022-10-25 | Neuroenhancement Lab, LLC | Method and apparatus for neuroenhancement to enhance emotional response |
US11364361B2 (en) | 2018-04-20 | 2022-06-21 | Neuroenhancement Lab, LLC | System and method for inducing sleep by transplanting mental states |
US11238718B2 (en) * | 2018-05-01 | 2022-02-01 | Pioneer Corporation | Vibration control device |
US11452839B2 (en) | 2018-09-14 | 2022-09-27 | Neuroenhancement Lab, LLC | System and method of improving sleep |
US11786694B2 (en) | 2019-05-24 | 2023-10-17 | NeuroLight, Inc. | Device, method, and app for facilitating sleep |
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